Ever wondered what that one decisive ranking factor is that drives websites to the top of Google—especially in the post-AI watershed era?
Is it still backlinks you need to prioritize? Is content truly still king? Or has user behavior—the clickstream—taken over everything?
Thanks to a redacted testimony from a Google engineer, recently released by the U.S. Justice Department, we finally have some clarity.
Despite all the technological evolution, Google still relies heavily on three core signals: Anchors, Body, and Clicks—collectively referred to by insiders as the ABC signals.
At Stan Ventures, we’ve been crafting SEO strategies rooted in these principles for years. And this framework has consistently delivered scalable results without exception..
Now, let’s move past the buzzwords and unpack how each of these signals actually influences search performance.
What Are Google’s ABC Signals? A Practical Look
Unlike AI-driven systems like RankBrain or DeepRank, the ABC signals are manually crafted.
That means Google engineers can directly tweak them (not for individual websites, but the algorithm as a whole), measure their impact, and resolve issues. These signals form the foundation of how Google determines if a page deserves to rank for a query.
Let’s break them down—not as theory, but how they look in action.
Anchors: Still a Ranking King (If Done Right)
Among the ABC signals, Anchors—referring to backlinks from one webpage to another—remain a foundational ranking input, even decades after the introduction of PageRank.
What’s particularly noteworthy from the Google engineer testimony is the confirmation that PageRank is still active within Google’s ranking system and relies heavily on link distance from trusted sources.
Google evaluates backlinks not merely by volume but by proximity to “seed” or authoritative domains. This model, commonly referred to as the link distance ranking algorithm, calculates how many steps a given page is away from highly trusted sources.
The closer a page is to these authoritative seed sites, the more reliably it is interpreted as trustworthy and ranking-worthy by Google.
Additionally, Google has evolved in how it interprets anchor text context, placement within content, and the relationship between source and destination domains.
Links embedded naturally within relevant content carry more weight than standalone or boilerplate links, and backlinks from niche-relevant sites hold more semantic value in topical scoring.
Key Takeaway: Anchors remain critical not just for passing link equity, but for establishing both authority and topical proximity within Google’s larger trust and relevance framework.
Body: Content That Aligns with Search Intent
The Body signal refers to the actual textual and structural content within a webpage. This signal serves as the primary input in determining semantic relevance—whether the content meaningfully addresses the user’s query.
Google’s natural language systems analyze the document to evaluate:
- Keyword and entity presence (including variations and related terms)
- Depth of coverage on the topic
- Content formatting such as use of headings, lists, and structure
- Contextual integrity—does the document remain coherent and consistent throughout?
The Body signal also influences the Topicality (T*) score, where semantic overlap with known query patterns improves the likelihood of being deemed a relevant match.
Content that comprehensively answers implicit and explicit user intents, while maintaining a logical information hierarchy, tends to perform better—especially under AI-assisted ranking models.
Key Takeaway: The Body of your content should not only include keyword targets but also demonstrate semantic depth, topical clarity, and structural readability. Google’s systems now focus on how well your content educates, resolves, or informs—not just if it contains the right words.
Clicks: Google’s Behavioral Feedback Loop
Although Google often minimizes the role of click-based metrics in public statements, internal documents and engineer testimonies confirm their presence within the ranking framework.
The Clicks signal reflects user behavior after interacting with a search result, particularly in relation to engagement and satisfaction.
Important behavioral indicators include:
- Click-through rate (CTR) from search results
- Dwell time (how long users stay on a page)
- Bounce-back rate (whether users return to the search results quickly)
- Click depth (number of internal pages visited after the initial click)
These metrics help refine the C component of ABC by offering real-time data on whether a result is genuinely helpful.
Google’s engineers have noted that while they avoid optimizing for predicted clicks (which can be gamed), they do use engagement patterns to recalibrate the relevance and performance of ranked pages.
Key Takeaway: Click signals act as a real-time validation layer. Pages that maintain user attention and reduce pogo-sticking behavior send positive feedback to Google’s ranking system, reinforcing their perceived quality and intent match.
Understanding T* and Q*: The Hidden Google Multipliers
When evaluating a webpage for a particular query, Google doesn’t just rely on visible signals like keywords or links—it also uses internal metrics that measure relevance and trust at a much deeper level. Two of these internal metrics, surfaced in the redacted testimony, are T* (Topicality) and Q* (Quality).
T* = Topicality
Topicality is Google’s assessment of how relevant a document is to a given search query. It’s built using a combination of the ABC signals (Anchors, Body, Clicks), but its core function is to answer the question:
“Does this content actually cover what the user is searching for?”
Google builds this score by looking at:
- The presence of query terms and related entities in the content (Body)
- The context of backlinks pointing to the page (Anchors)
- How users interact with the page (Clicks)
T* is computed using machine learning models and regression analysis that evaluate large datasets of documents and user behavior.
If a page demonstrates clear, focused alignment with the topic in question—using the right vocabulary, answering searcher questions, and covering subtopics—it scores higher on T*.
Importantly, T* is query-specific. A page might have a high T* for “benefits of intermittent fasting” but a lower T* for “calorie tracking apps” if it doesn’t adequately address that second topic—even if both are on a health blog.
Q* = Quality
Q*, on the other hand, is a site-level trust metric. It reflects how Google evaluates the overall quality and trustworthiness of a domain across all topics and queries.
Unlike T*, Q* is static across multiple queries, meaning it doesn’t change depending on the keyword being searched.
Google assigns Q* based on signals like:
- Domain reputation and consistency in publishing authoritative content
- Link profile health, especially links from known high-quality sources
- Historical site behavior, including spam violations, manipulative practices, or poor user experience
- Content freshness and originality across the site
Think of Q* as the “credibility ceiling” for a domain. Even if a page has high topicality, a low Q* score can suppress its ranking potential. This is especially evident for YMYL (Your Money or Your Life) content categories, where trust is critical.
In practical terms, a site with strong Q* can more easily rank new content—even if the new page doesn’t yet have many links. Conversely, low Q* sites may find it harder to rank, even with optimized content and backlinks, due to underlying trust concerns.
| Signal | What It Means | Why It Matters |
| Anchors (A) | Backlinks pointing to your pages | A productivity SaaS tool earned a contextual link from Zapier. That anchor boosted their trustworthiness and rankings for “workflow automation.” |
| Body (B) | The actual content and structure of your page | A pet blog rewrote a generic post on dog food allergies to answer specific user queries. Within weeks, it ranked higher for long-tail keywords. |
| Clicks (C) | User behavior—click-through, time on site, bounce rate | An ecommerce page revamped its layout and added FAQs. Users stayed longer, conversions improved—and rankings followed. |
| T* (Topicality) | Query-level score that measures how well a page matches the user’s intent | Combines ABC signals to determine if your content aligns with the topic being searched. High T* means better topical relevance. |
| Q* (Quality) | Site-wide trust and authority score | Evaluates the overall credibility of your domain based on backlink quality, content consistency, and user experience. A strong Q* improves ranking potential across multiple queries. |
So, Are ABC Signals Still Relevant in 2025?
Absolutely. Even as Google builds AI-based layers on top, the foundational signals haven’t gone away. In fact, Google continues to rely on them because:
- They’re transparent (engineers can audit and debug them)
- They align with what users actually want
- They’re difficult to game if you focus on quality
How Stan Ventures Builds Around ABC
At Stan Ventures, we don’t chase vanity metrics. We build systems that make your Anchors stronger, your Body clearer, and your Clicks more meaningful.
Here’s how we do it:
- Link Building that Matters: We get you backlinks from high-authority, relevant sources—not shady link farms.
- Content That Converts: We map your blogs and pages to intent, enrich them with semantic terms, and structure them for readability.
- UX Meets SEO: We advise on page layouts, speed, and engagement strategies to keep users clicking—not bouncing.
Need help getting your ABCs right?
Let’s talk. Stan Ventures can help you build a link profile Google trusts, create content your users love, and structure your site for sustained performance.
Dileep Thekkethil
AuthorDileep Thekkethil is the Director of Marketing at Stan Ventures, where he applies over 15 years of SEO and digital marketing expertise to drive growth and authority. A former journalist with six years of experience, he combines strategic storytelling with technical know-how to help brands navigate the shift toward AI-driven search and generative engines. Dileep is a strong advocate for Google’s EEAT standards, regularly sharing real-world use cases and scenarios to demystify complex marketing trends. He is an avid gardener of tropical fruits, a motor enthusiast, and a dedicated caretaker of his pair of cockatiels.